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DBMS > Apache Druid vs. HarperDB vs. SpatiaLite vs. VictoriaMetrics vs. Yaacomo

System Properties Comparison Apache Druid vs. HarperDB vs. SpatiaLite vs. VictoriaMetrics vs. Yaacomo

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonHarperDB  Xexclude from comparisonSpatiaLite  Xexclude from comparisonVictoriaMetrics  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Spatial extension of SQLiteA fast, cost-effective and scalable Time Series DBMS and monitoring solutionOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMS
Time Series DBMS
Document storeSpatial DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score1.60
Rank#149  Overall
#3  Spatial DBMS
Score1.32
Rank#162  Overall
#14  Time Series DBMS
Websitedruid.apache.orgwww.harperdb.iowww.gaia-gis.it/­fossil/­libspatialite/­indexvictoriametrics.comyaacomo.com
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.harperdb.io/­docswww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmldocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software Foundation and contributorsHarperDBAlessandro FurieriVictoriaMetricsQ2WEB GmbH
Initial release20122017200820182009
Current release29.0.1, April 20243.1, August 20215.0.0, August 2020v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community edition availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaNode.jsC++Go
Server operating systemsLinux
OS X
Unix
Linux
OS X
server-lessFreeBSD
Linux
macOS
OpenBSD
Android
Linux
Windows
Data schemeyes infoschema-less columns are supporteddynamic schemayesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL for queryingSQL-like data manipulation statementsyesnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
JDBC
ODBC
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1nono
Triggersnonoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedA table resides as a whole on one (or more) nodes in a clusternonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes infothe nodes on which a table resides can be definednoneSynchronous replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users and rolesnofine grained access rights according to SQL-standard

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More resources
Apache DruidHarperDBSpatiaLiteVictoriaMetricsYaacomo
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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